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train/SB/SA7/config/config_sacfm.py

@@ -26,7 +26,7 @@ class SACFMConfig:
     noise_type: str = "Gaussian"
     print_every: int = 5000
     mode: str = "predict_y"
-    result_path: str = "/home/hp250092/ku50001222/qian/aivc/lfj/GRN/result/sacfm"
+    result_path: str = "./result"
     fusion_method: str = "differential_perceiver"
     infer_top_gene: int = 1000
     n_top_genes: int = 5000

train/SB/SA7/run_sacfm.sh

@@ -7,8 +7,12 @@
 
 export PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:256
 
-source /home/hp250092/ku50001222/qian/aivc/lfj/stack_env/bin/activate
-cd /home/hp250092/ku50001222/qian/aivc/lfj/GRN/grn_sacfm
+# Auto-detect paths: grn_sacfm/ -> GRN/ -> lfj/
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+LFJ_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)"
+
+source "$LFJ_ROOT/stack_env/bin/activate"
+cd "$SCRIPT_DIR"
 
 python scripts/run_sacfm.py \
     --d-model 128 \
@@ -36,5 +40,5 @@ python scripts/run_sacfm.py \
     --ode-steps 20 \
     --sigma-scale 0.3 \
     --gene-weight-alpha 2.0 \
-    --result-path /home/hp250092/ku50001222/qian/aivc/lfj/GRN/result/sacfm \
+    --result-path "$LFJ_ROOT/GRN/result/sacfm" \
     --exp-name sacfm_ss03_gw2